Table 3.
Predictive model coefficients*
Assay | General model (all sites) | Colon model | Mammary model |
---|---|---|---|
Slopes (standard error) | |||
ACF | −0.559 (0.184) | −0.698 (0.205) | −0.031 (0.094) |
A427 | 0.019 (0.060) | −0.092 (0.164) | −0.205 (0.174) |
HFE | −0.159 (0.204) | −0.015 (0.135) | −0.329 (0.255) |
JB6 | −0.031 (0.095) | −0.076 (0.220) | −0.010 (0.077) |
MMOC | −0.288 (0.168) | 0.002 (0.073) | −0.428 (0.177) |
RTE | −0.153 (0.139) | −0.075 (0.124) | −0.111 (0.140) |
Intercepts (standard error) | |||
Y=0 | 0.849 (0.526) | 0.410 (0.648) | 1.521 (0.668) |
Y=1 | 1.849 (0.554) | 1.594 (0.659) | 2.891 (0.713) |
Y=2 | 2.538 (0.576) | 2.942 (0.702) | 4.065 (0.772) |
* Slopes and intercepts in the ordinal logistic regression models are presented, where Y is the potential outcome of the animal tumor assay. An example of using the coefficients in the general model is shown in Figure 3. A427 = human lung tumor A427 cell; ACF = aberrant crypt foci; HFE = human foreskin epithelial cell; JB6 = mouse JB6 epidermal cell; MMOC = mouse mammary organ culture; RTE = rat tracheal epithelial cell.